در شرایطی که ایران با فشارهای گسترده بین‌المللی، تحریم‌های اقتصادی، و تهدیدات امنیتی پیچیده مواجه است، تأکید افراطی و بی‌وقفه بر اجرای قانون حجاب اجباری، نه‌تنها به حفظ هویت فرهنگی یا دینی نمی‌انجامد، بلکه ناخواسته به بستری برای تعمیق شکاف‌های اجتماعی، ایجاد تفرقه درون‌ملی، و در نهایت بازی در زمین دشمنان منطقه‌ای ایران تبدیل می‌شود. در این مقاله، تلاش می‌کنیم با نگاهی واقع‌گرایانه و تحلیل چندلایه، این پدیده را در بستر اجتماعی، سیاسی و امنیتی ایران بررسی کنیم.

Iran and Venezuela, two nations under heavy Western sanctions, have sought to build strategic partnerships over the past two decades. Their alliance has been framed as a counterbalance to U.S. hegemony, rooted in shared ideological narratives and economic needs, particularly in the oil and energy sectors. However, despite grand rhetoric and high-level agreements, the relationship has often yielded limited tangible results. Recent developments suggest that Iran may be facing setbacks — or even failures — in its engagement with Venezuela, with significant political, economic, and geopolitical consequences.

The Bahá'í Faith, as a modern religious movement that emerged in the 19th century, is characterized by universalist, transnational, and pacifist ideals. These teachings conflict with the traditional structures of nationalism, which are grounded in national identity, territorial integrity, and cultural unity. This paper, through a document-based and comparative analysis of Bahá'í texts, examines the ideological principles of the Bahá'í Faith in comparison with the core elements of nationalism. The findings reveal that the Bahá'í emphasis on the "unity of humankind," the negation of national borders, and the promotion of a global government, are fundamentally at odds with the modern nationalist discourse.

Below is a comprehensive overview of the economic sanctions imposed on Iran over the past roughly forty years (since around 1985), focusing on their wide-ranging economic, political, social, and humanitarian impacts. The timeline highlights key periods of sanctions, their effects, and Iran’s responses.

During the intense 12-day conflict between Israel and Iran in June 2025, Azerbaijan emerged not as a neutral observer, but as a silent enabler—allegedly providing key logistical and intelligence support to Israel and, by extension, the United States. Under President Ilham aliyev, Azerbaijan has steadily deepened military and technological ties with Israel, positioning itself as a quiet but crucial player in the regional power struggle.

Recent disclosures, allegedly originating from cyber intrusions conducted by Iranian hacking units targeting Israeli nuclear affairs, have brought to light a highly sensitive and potentially destabilizing claim. According to these documents, Rafael Grossi, Director General of the International Atomic Energy Agency (IAEA), is accused of clandestinely transferring classified Iranian nuclear information to Israeli officials over an extended period, purportedly under the pretext of building Iranian trust.

AI can significantly enhance the efficiency and effectiveness of peer review and academic publishing processes in several ways:

Using AI for scientific research brings about numerous ethical considerations that must be addressed to ensure responsible and beneficial outcomes. Here are some key ethical considerations and ways to address them:

Bias and Fairness

Consideration: AI systems can inherit biases present in the training data, leading to biased research outcomes, particularly affecting marginalized groups.
dressing:

AI-driven simulations have transformative potential for understanding complex biological processes and ecological systems. Here’s how they contribute to these fields:

AI can play a significant role in detecting and preventing fraudulent scientific data or research misconduct through several key methods:

Data Analysis and Anomaly Detection: AI algorithms can analyze large datasets to identify patterns or anomalies that might indicate fraudulent activity. For example, if an experiment’s results deviate significantly from expected patterns or from similar studies, AI can flag these deviations for further investigation.